SMS/Email Spam Not Spam Classification

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Deployed Application Link : Spam Detector

This classifier uses natural language processing and multinominal naive bayes algorithm to detect spam texts.

The dataset used for this project was SMS Spam Collection Dataset by UCI Machine Learning. It can be found at the this link : https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset

The libraries used for this project are as follows:

nltk(for NLP processing)
sklearn(for model building)
streamlit(for application deployment)

The code for the above project can be found on the GitHub link below. Text-Spam-Detection